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A Scale-Adaptive Matching Algorithm for Underwater Acoustic and Optical Images
2020
Sensors
Underwater acoustic and optical data fusion has been developed in recent decades. Matching of underwater acoustic and optical images is a fundamental and critical problem in underwater exploration because it usually acts as the key step in many applications, such as target detection, ocean observation, and joint positioning. In this study, a method of matching the same underwater object in acoustic and optical images was designed, consisting of two steps. First, an enhancement step is used to
doi:10.3390/s20154226
pmid:32751338
fatcat:r6mvc5ktrbbtnkjkhtg7nbqkzq